McMaster University

Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology

Jeremy Petch, Shuang Di, Walter Nelson

2021 · 513 Zit.

Deep learning COVID-19 detection bias: accuracy through artificial intelligence

Shashank Vaid, Reza Kalantar, Mohit Bhandari

2020 · 191 Zit.

Machine learning and artificial intelligence in research and healthcare

Luc Rubinger, Aaron Gazendam, Seper Ekhtiari et al.

2022 · 166 Zit.

Interobserver and intraobserver variation in the assessment of the healing of tibial fractures after intramedullary fixation

Daniel B. Whelan, Mohit Bhandari, Michael D. McKee et al.

2002 · 140 Zit.

Large language models and their impact in ophthalmology

Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng et al.

2023 · 128 Zit.

Computerized clinical decision support systems for acute care management: A decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes

Navdeep Sahota, Rob Lloyd, Anita Ramakrishna et al.

2011 · 125 Zit.

Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study

Aidan Pucchio, Raahulan Rathagirishnan, Natasha Caton et al.

2022 · 114 Zit.

Factors influencing trust in medical artificial intelligence for healthcare professionals: a narrative review

Victoria Tucci, Joan Saary, Thomas E. Doyle

2021 · 106 Zit.

COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning

Hayden Gunraj, Ali Sabri, David Koff et al.

2022 · 105 Zit.

“AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health

J. Morgenstern, Laura C. Rosella, Mark Daley et al.

2021 · 104 Zit.

Stakeholders’ perspectives on the future of artificial intelligence in radiology: a scoping review

Ling Yang, Ioana Cezara Ene, Reza Arabi Belaghi et al.

2021 · 102 Zit.

Large Language Models for Chatbot Health Advice Studies

Bright Huo, Amy Boyle, Nana Marfo et al.

2025 · 95 Zit.

Applications of artificial intelligence and machine learning in heart failure

Tauben Averbuch, Kristen Sullivan, Andrew J. Sauer et al.

2022 · 93 Zit.

Comparative Performance of ChatGPT and Bard in a Text-Based Radiology Knowledge Assessment

Nikhil S. Patil, Ryan S. Huang, Christian B. van der Pol et al.

2023 · 92 Zit.

Limiting loss to follow-up in a multicenter randomized trial in orthopedic surgery

Sheila Sprague, Pam Leece, Mohit Bhandari et al.

2003 · 91 Zit.